Validation of joint input-state estimation for force identification and response estimation in structural dynamics

K. Maes, K. Van Nimmen, E. Lourens, A. Rezayat, P. Guillaume, G. De Roeck, G. Lombaert

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

This paper presents a validation of a recently developed joint input-state estimation algorithm for force identification and response estimation in structural dynamics, using data obtained from in situ experiments on a footbridge. First, the algorithm is used to identify two impact forces applied to the bridge deck. Next, the algorithm is used to extrapolate measured accelerations due to wind loading to unmeasured locations in the structure. The dynamic model of the footbridge used in the system inversion is obtained from a detailed finite element model, that is calibrated using a set of experimental modal characteristics. The quality of the estimated forces and accelerations is assessed by comparison with the corresponding measured quantities. In both cases, a very good overall agreement is obtained.

Original languageEnglish
Title of host publication8th European Workshop on Structural Health Monitoring, EWSHM 2016
PublisherNDT.net
Pages537-545
Number of pages9
Volume1
ISBN (Electronic)978-151082793-6
Publication statusPublished - 2016
Event8th European Workshop on Structural Health Monitoring - Bilbao, Spain
Duration: 5 Jul 20168 Jul 2016
Conference number: 8
http://www.ndt.net/events/EWSHM2016/app/content/

Conference

Conference8th European Workshop on Structural Health Monitoring
Abbreviated titleEWSHM 2016
Country/TerritorySpain
CityBilbao
Period5/07/168/07/16
Internet address

Keywords

  • Data fusion
  • Force identification
  • Joint input-state estimation
  • Response estimation
  • Structural health monitoring

Fingerprint

Dive into the research topics of 'Validation of joint input-state estimation for force identification and response estimation in structural dynamics'. Together they form a unique fingerprint.

Cite this